Evidence map›Paper›PMID 32802869›Full record

ArticleBioMed research international2020

Identification of Tumorigenic and Prognostic Biomarkers in Colorectal Cancer Based on microRNA Expression Profiles.

Yuntao Shi, Yingying Zhuang, Jialing Zhang, Mengxue Chen, Shangnong Wu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. PCBP2 in gastrointestinal cancers: fundamental mechanism and clinical potential.Journal of molecular medicine (Berlin, Germany) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Yuntao ShiDepartment of Gastroenterology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, No. 1, Huanghe West Road, Huai'an 223300, China.
Yingying ZhuangDepartment of Medical Imaging, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, No. 1, Huanghe West Road, Huai'an 223300, China.
Jialing ZhangDepartment of Gastroenterology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, No. 1, Huanghe West Road, Huai'an 223300, China.
Mengxue ChenDepartment of Gastroenterology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, No. 1, Huanghe West Road, Huai'an 223300, China.
Shangnong WuDepartment of Gastroenterology, The Affiliated Huai'an No.1 People's Hospital of Nanjing Medical University, No. 1, Huanghe West Road, Huai'an 223300, China.ORCID https://orcid.org/0000-0001-8843-8215
Xuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAlthough noncoding RNAs, especially the microRNAs, have been found to play key roles in CRC development in intestinal tissue, the specific mechanism of these microRNAs has not been fully understood.

methodsGEO and TCGA database were used to explore the microRNA expression profiles of normal mucosa, adenoma, and carcinoma. And the differential expression genes were selected. Computationally, we built the SVM model and multivariable Cox regression model to evaluate the performance of tumorigenic microRNAs in discriminating the adenomas from normal tissues and risk prediction.

resultsIn this study, we identified 20 miRNA biomarkers dysregulated in the colon adenomas. The functional enrichment analysis showed that MAPK activity and MAPK cascade were highly enriched by these tumorigenic microRNAs. We also investigated the target genes of the tumorigenic microRNAs. Eleven genes, including PIGF, TPI1, KLF4, RARS, PCBP2, EIF5A, HK2, RAVER2, HMGN1, MAPK6, and NDUFA2, were identified to be frequently targeted by the tumorigenic microRNAs. The high AUC value and distinct overall survival rates between the two risk groups suggested that these tumorigenic microRNAs had the potential of diagnostic and prognostic value in CRC.

conclusionsThe present study revealed possible mechanisms and pathways that may contribute to tumorigenesis of CRC, which could not only be used as CRC early detection biomarkers, but also be useful for tumorigenesis mechanism studies.

Indexed as

Biomarkers, TumorCarcinogenesisColorectal NeoplasmsGene Expression Regulation, NeoplasticMicroRNAsRNA, ViralHumansKruppel-Like Factor 4Biomarkers, TumorKLF4 protein, humanKruppel-Like Factor 4MicroRNAsRNA, Viral

Identifiers

PMID32802869
PMCPMC7424406
OpenAlexW3046943242

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.